This quiz will test your knowledge of key concepts in data visualization and data science. You will be asked questions about visualization best practices, different chart types, and commonly used Python libraries like Matplotlib, Seaborn and Plotly.

The number of attempts remaining is 5

1 / 30

What seaborn function is used to draw a point plot?

A) sns.draw_points()

B) sns.points()

C) sns.pointplot()

D) sns.plot_points()

2 / 30

What type of plot is used for visualizing relationships between two continuous variables?

A) Line chart

B) Pie chart

C) Scatter plot

D) Bar chart

3 / 30

Which function is used to create a histogram in Matplotlib?

A) plt.hist()

B) plt.histogram()

C) plt.draw_hist()

D) plt.plot_hist()

4 / 30

What type of chart is best for visualizing hierarchical or multi-level categorical data?

A) Bar chart

B) Tree map

C) Scatter plot

D) Pie chart

5 / 30

How do you set the x-axis label in a matplotlib plot?

A) plt.xlabel('x-axis')

B) x_label('x-axis')

C) label_x('x-axis')

D) set_xlabel('x-axis')

6 / 30

Which attribute sets the plot title in Plotly?

A) name

B) set_title

C) plot_title

D) title

7 / 30

Which Plotly method updates axes properties (like ranges) non-uniformly?

A) update_axlims()

B) fig.update_xaxes()

C) axes_update()

D) fig.update_axes()

8 / 30

What library is used in Python for interactive web-based data visualization?

A) Seaborn

B) Bokeh

C) Plotly

D) Matplotlib

9 / 30

What is overplotting in data visualization?

A) When the x and y axes are not labeled

B) When the legend is missing

C) When there are too many colors in a plot

D) When data points are plotted on top of each other

10 / 30

Which function in matplotlib is used to create a new figure?

A) plt.graph()

B) plt.create()

C) plt.figure()

D) plt.new()

11 / 30

Which function is used to add subplots in Matplotlib?

A) plt.add_subplot()

B) plt.subplot()

C) plt.create_subplot()

D) plt.subplots()

12 / 30

Which function is used to create a scatter plot in Plotly?

A) go.Scatter()

B) plotly.graph_objects.Scatter()

C) plot.scatter()

D) scatter_plot()

13 / 30

How do you add a legend to a Plotly figure?

A) add_legend()

B) show_legend()

C) legend=True

D) layout.legend.showlegend=True

14 / 30

What is a pivot table in data visualization?

A) A chart type to visualize time series data

B) A tool for rearranging and summarizing data

C) A map to overlay data on geographic locations

D) A deep learning model for processing images

15 / 30

Which parameter in seaborn's sns.pairplot() function is used to color points by a particular variable?

A) color

B) hue

C) shade

D) palette

16 / 30

Which parameter controls the legend location in matplotlib?

A) legend_loc

B) location

C) loc

D) legendposition

17 / 30

What type of chart is best for showing data trends over time?

A) Scatter plot

B) Line chart

C) Bar chart

D) Pie chart

18 / 30

Which color palette is used by default in seaborn plots?

A) default

B) predefined

C) plt.colors()

D) 'muted'

19 / 30

What is facetting in data visualization?

A) Relabeling the axes and legends

B) Scaling the plot for different devices

C) Dividing the plot area into panels to show subsets of data

D) Combining multiple plots into subplots

20 / 30

How do you set the title of a plot in matplotlib?

A) plt.heading('Title')

B) plt.caption('Title')

C) plt.title('Title')

D) plt.set_title('Title')

21 / 30

Which function in seaborn is used to draw a pair plot?

A) sns.pairplot()

B) sns.plot_pair()

C) sns.draw_pair()

D) sns.pair()

22 / 30

What type of chart is best for showing proportions within a whole?

A) Bar chart

B) Line chart

C) Scatter plot

D) Pie chart

23 / 30

Which parameter sets the linewidth in Matplotlib?

A) linewidth

B) width_line

C) set_width()

D) line_width

24 / 30

How do you add a legend to a Matplotlib plot?

A) plt.legend()

B) legend()

C) plt.add_legend()

D) add_legend()

25 / 30

Which function in matplotlib is used to create a scatter plot?

A) plt.plot_scatter()

B) plt.scatter_plot()

C) plt.draw_scatter()

D) plt.scatter()

26 / 30

How do you add a grid to a matplotlib plot?

A) plt.add_grid(True)

B) plt.gridlines(True)

C) plt.set_grid(True)

D) plt.grid(True)

27 / 30

How do you save a Plotly figure as HTML?

A) fig.write_html('fig.html')

B) fig.save_as_html('fig.html')

C) export_html('fig.html')

D) fig.to_html('fig.html')

28 / 30

What is the purpose of a heatmap in data visualization?

A) To create interactive plots

B) To plot time series data

C) To draw 3D plots

D) To visualize data density or intensity across a 2D space

29 / 30

Which Plotly class is used to create bar charts?

A) go.Bar()

B) BarChart()

C) bar_plot()

D) plotly.graph_objects.Bar()

30 / 30

What principle states that graphs should maximizeink ratio (data-to-ink ratio)?

A) Chartjunk principle

B) Tufte's data-ink maximization principle

C) Visual hierarchy principle

D) Lie Factor principle

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